classification-hate-speech – AI Model by bob-bob-bob-3 | AlphaNeural AI

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classification-hate-speech

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text-classification

generated_from_trainer

indolem/indobertweet-base-uncased

autotrain_compatible

endpoints_compatible

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classification-hate-speech

This model is a fine-tuned version of indolem/indobertweet-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.3971
F1 macro: 0.3764
Weighted: 0.5676
Balanced accuracy: 0.5202

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	F1 macro	Weighted	Balanced accuracy
1.1881	1.0	98	1.2881	0.3632	0.5818	0.4714
0.9442	2.0	196	1.6041	0.3525	0.4977	0.5128
0.5045	3.0	294	2.1271	0.3236	0.4088	0.5040
0.111	4.0	392	1.9956	0.3627	0.5579	0.5034
0.0279	5.0	490	2.3665	0.3740	0.5627	0.5203
0.0203	6.0	588	2.4468	0.3662	0.5512	0.5170
0.006	7.0	686	2.3971	0.3764	0.5676	0.5202

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1